Machine Learning in Python for Visual and Acoustic Data-based Process Monitoring
Machine Learning in Python for Visual and Acoustic Data-based Process Monitoring
A short beginner’s guide to deep learning-based computer vision and abnormal sound detection
About the Book
This book is designed to help readers gain quick familiarity with deep learning-based computer vision and abnormal equipment sound detection techniques. The book helps you take your first step towards learning how to use convolutional neural networks (the ANN architecture that is behind the modern revolution in computer vision) and build image sensor-based manufacturing defect detection solutions. A quick introduction is also provided to how modern predictive maintenance solutions can be built for process critical equipment by analyzing the sound generated by the equipment. Overall, this short eBook sets the foundation with which budding process data scientists can confidently navigate the world of modern computer vision and acoustic monitoring.
About the Author
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